Binary logistic regression is a machine learning algorithm most useful when we want to model the event probability for a categorical response variable with two outcomes (yes/no, true/false, etc.). In this video we’ll build a sentiment classifier app that uses binary logistic regression to classify tweets as either happy, sad, or neutral. I’ll use animations, code, rap, skits, and equations to explain how it all works. Enjoy!

Three Instagram features that were announced at Facebook’s F8 annual developer conference in May, today Instagram rolled out the second of the three new features promised video calling. …

February 14, 2018, tragedy struck Marjory Stoneman Douglas High School in Parkland, Florida as a 19-year-old former student at the high school opened fire on his former classmates. This article will not discuss gun laws, politics or anything of that nature. What I will do is analyze how the Broward…